Distribution Pattern Of Cells Research Articles

Characterization and functional analysis of chicken promyelocytic leukemia protein

In mammals, promyelocytic leukemia (PML) protein, also named as TRIM19, is the key component of nuclear membrane-less sub structures PML nuclear bodies (PML-NBs) or nuclear domains 10 (ND10). PML-NBs are dynamic foci that consist of numerous permanently or transiently associated proteins. The mammalian PMLs are involved in the regulation of various cellular pathways, including apoptosis, intrinsic and innate antiviral immunity, cell cycle, DNA damage, senescence and etc. Nevertheless, little is known about the role of chicken PML (chPML). In this study, chPML gene was cloned, and its several functions were characterized. We found that chPML was widely expressed in different tissues of chickens, and showed different subcellular distribution pattern in DF-1 cells comparing with LMH and HD11 cells. Like human PML, chPML was identified to be SUMOylated. K463 is one critical SUMOylation site and 240RARRG244 is SUMO interaction motif (SIM) of chPML. Moreover, qPCR showed that chPML could not only up-regulate the expression of host innate immune factor IFN-β and its downstream ISGs, but also antigen presentation-related factors including class II transactivator (CIITA) and MHC II DM beta 2 (DMB2). Notably, over-expression of chIFN-β could promote the expression of endogenous chPML. All these provide novel insights into the function of chPML, and pave the way for further studying the roles of chPML in biological process and anti-infection function.

In-depth histological, lectin-histochemical, immunohistochemical and ultrastructural description of the olfactory rosettes and olfactory bulbs of turbot (Scophthalmus maximus).

Chemical communication through olfaction is crucial for fish behaviours, mediating in socio-sexual behaviours as reproduction. Turbot, a flatfish with significant aquaculture production, possesses a well-developed olfactory system from early developmental stages. After metamorphosis, flatfish acquire their characteristic bilateral asymmetry with an ocular side facing the open water column, housing the dorsal olfactory rosette, and a blind side in contact with the sea bottom where the ventral rosette is located. This study aimed to address the existing gap in specific histological, ultrastructural, lectin-histochemical and immunohistochemical studies of the turbot olfactory rosettes and olfactory bulbs. We examined microdissected olfactory organs of adult turbots and premetamorphic larvae by using routine histological staining techniques, and a wide array of lectins and primary antibodies against G-proteins and calcium-binding proteins. We observed no discernible structural variations in the olfactory epithelium between rosettes, except for the dorsal rosette being larger in size compared to the ventral rosette. Additionally, the use of transmission electron microscopy significantly improved the characterization of the adult olfactory epithelium, exhibiting high cell density, small cell size, and a wide diversity of cell types. Moreover, specific immunopositivity in sensory and non-sensory cells provided us of essential information regarding their olfactory roles. The results obtained significantly enriched the scarce morphological and neurochemical information available on the turbot olfactory system, revealing a highly complex olfactory epithelium with distinct features compared to other teleost species, especially with regard to olfactory cell distribution and immunolabelling patterns.

Sustained amphiregulin expression in intermediate alveolar stem cells drives progressive fibrosis

Idiopathic pulmonary fibrosis (IPF) is a progressive and fatal fibrotic disease. Recent studies have highlighted the persistence of an intermediate state of alveolar stem cells in IPF lungs. In this study, we discovered a close correlation between the distribution pattern of intermediate alveolar stem cells and the progression of fibrotic changes. We showed that amphiregulin (AREG) expression is significantly elevated in intermediate alveolar stem cells of mouse fibrotic lungs and IPF patients. High levels of serum AREG correlate significantly with profound deteriorations in lung function in IPF patients. We demonstrated that AREG in alveolar stem cells is both required and sufficient for activating EGFR in fibroblasts, thereby driving lung fibrosis. Moreover, pharmacological inhibition of AREG using a neutralizing antibody effectively blocked the initiation and progression of lung fibrosis in mice. Our study underscores the therapeutic potential of anti-AREG antibodies in attenuating IPF progression, offering a promising strategy for treating fibrotic diseases.

Morphological Characteristics of Retinal Ganglion Cells in the Retinas of Giant Pandas (Ailuropoda melanoleuca).

Vision plays a crucial role in the survival of animals, and the visual system has particularly selectively evolved in response to the visual environment, ecological niche, and species habitats in vertebrate species. To date, a horizontal streak of retinal ganglion cell (RGC) distribution pattern is observed across mammal species. Here, we report that the giant panda's vertically oriented visual streak, combined with current evidence of the animal's forward-placed eyes, ocular structure, and retinal neural topographic distribution patterns, presents the emergence of a well-adapted binocular visual system. Our results suggest that the giant panda may use a unique way to processing binocular visual information. Results of mathematical simulation are in favor of this hypothesis. The topographic distribution properties of RGCs reported here could be essential for understanding the visual adaptation and evolution of this living fossil.

Estrogen receptor Esr1 induces early ovarian differentiation in Trachemys scripta

This study aims to explore the roles of three estrogen receptors (Esr1, Esr2, and Gper1) in early differentiation of embryonic gonads of Trachemys scripta. The expression characteristics of the receptor genes were studied first. The Esr1, Esr2, and Gper1 agonists PPT, WAY 200070, and G-1 were respectively injected into the embryos at the male-producing temperature (MPT) before initiation of gonadal differentiation. The sex reversal of the treated embryonic gonads was analyzed in terms of morphological structure of gonads, distribution pattern of germ cells, and expression of key genes and proteins involved in sex differentiation. The expression level of esr1 during the critical stage of sex differentiation was higher than those of esr2 and gper1 (very low expression) and was particularly high in the gonads at the female-producing temperature (FPT). After treatment with PPT, the MPT gonads presented obviously feminized morphology and structure, with the germ cells exhibiting a female distribution pattern. Furthermore, the mRNA expression levels of the key genes (dmrt1, amh, and sox9) for male differentiation were down-regulated significantly, while those of the key genes (foxl2 and cyp19a1) for female differentiation were up-regulated observably. The fluorescent signals of Amh and Sox9 expression almost disappeared, while Foxl2 and Arom were activated to express abundantly, which fully demonstrated the sex reversal of the gonads from male to female (sex reversal rate: 70.27%). However, the MPT gonads treated with WAY 200070 and G-1 still differentiated into testes, and the expression patterns of the key genes and proteins were similar to those in male gonads. The above results demonstrate that activation of Esr1 alone can fully initiate the early female differentiation process of gonads, suggesting that estrogen may induce early ovarian differentiation via Esr1 in Trachemys scripta. The findings provide a basis for further revealing the mechanisms of estrogen regulation in sex determination and differentiation of turtles.

P-200 Vitrification induces a deviation in cleavage morphokinetic patterns and transcriptomic signatures along mouse embryo development

Abstract Study question Are there cellular, molecular and/or epigenetic risks associated with cryopreservation that may affect embryo development and compromise the health of future newborns? Summary answer Cryopreservation significantly impacted mice pre-implantation embryo morphokinetics, altered transcriptomic profiles, and cell lineage distribution. However, global DNA methylation remained unaffected by cryopreservation. What is known already Cryopreservation is currently widely used in assisted reproduction. However, epidemiological studies suggest a negative impact in the long-term health of children born after frozen-embryo transfer (FET). Recent population-based register studies have reported: 1) an increased risk of infant mortality from birth up to 1 year of life in singletons conceived using cryopreserved embryos vs natural conceptions; 2) high birth weights for gestational age associated with FET; 3) an increased risk of obstetrical complications in singletons conceived using cryopreserved embryos; 4) a higher incidence of childhood cancer and imprinting disorders associated with FET. Study design, size, duration F1 hybrid (B6/CBA) mice zygotes were collected following uterus dissection (n = 200 embryos/collection), and half of those were vitrified for comparison. Each embryo’s morphokinetics was assessed through time-lapse imaging using GERI, at 37 °C, 6% CO2, 5% O2, up to 105 hours. Extended culture beyond blastocyst stage was also performed. Fresh and cryopreserved blastocysts at E5.0 were cultured up to E9.0-E10 in static conditions (IVC1 and IVC2 medium). Participants/materials, setting, methods Fresh and cryopreserved embryos at several developmental stages were used for: 1) immunofluorescence staining, 2) gene expression analysis through RT-qPCR and 3) single-cell RNAseq. Global methylation activity, cell lineage distribution and single-cell transcriptome were assessed using one of the previously described methodologies. Main results and the role of chance The morphokinetics of preimplantation embryos were examined by tracking the time required to reach 4-cell, 8-cell, compactation, morula, full blastocyst, and expanded blastocyst stage. A comprehensive analysis revealed notable delays in the developmental rhythm of cryopreserved embryos compared to fresh embryos (p < 0.01). Applying single-cell RNA sequencing (scRNAseq), transcriptomic profiles were generated for fresh and cryopreserved embryos, covering the zygote to blastocyst stages. Notably, distinct transcriptomic signatures for fresh and frozen embryos emerged within separate clusters at different developmental stages. These findings suggest a potential functional impact of cryopreservation on embryo development. To complement this, gene expression analysis of DNA methyltransferases and MAT enzymes was conducted through RT-qPCR at 8-cell and blastocyst stages. No significant differences were detected between fresh and cryopreserved conditions. Furthermore, immunofluorescence staining of nuclear 5mC and DNMT1 in 8-cell embryos and blastocysts demonstrated similar levels between fresh and cryopreserved embryos. Additionally, differential staining of embryonic and extraembryonic cells (OCT4, GATA6 and GATA3) in extended embryos (E9 and E10) revealed distinct cell distribution patterns between fresh and cryopreserved conditions. Limitations, reasons for caution Our research, conducted using a mouse experimental model, has limited applicability to humans due to considerable species differences in embryonic development. Additional research is needed to validate our findings and establish their relevance to human embryos, facilitating translational approaches. Wider implications of the findings Our study highlights a noticeable functional impact of vitrification on mouse embryos. Given the global incorporation of this method in fertility clinics and its potential association with increased disease risks, our findings emphasize the need for increased research to reduce uncertainties regarding the health of children born from cryopreservation methods. Trial registration number Not applicable

Spatial distribution pattern of immune cells is associated with patient prognosis in colorectal cancer

BackgroundThe spatial context of tumor-infiltrating immune cells (TIICs) is important in predicting colorectal cancer (CRC) patients’ clinical outcomes. However, the prognostic value of the TIIC spatial distribution is unknown. Thus, we aimed to investigate the association between TIICs in situ and patient prognosis in a large CRC sample.MethodsWe implemented multiplex immunohistochemistry staining technology in 190 CRC samples to quantify 14 TIIC subgroups in situ. To delineate the spatial relationship of TIICs to tumor cells, tissue slides were segmented into tumor cell and microenvironment compartments based on image recognition technology, and the distance between immune and tumor cells was calculated by implementing the computational pipeline phenoptr.ResultsMPO+ neutrophils and CD68+IDO1+ tumor-associated macrophages (TAMs) were enriched in the epithelial compartment, and myeloid lineage cells were located nearest to tumor cells. Except for CD68+CD163+ TAMs, other cells were all positively associated with favorable prognosis. The prognostic predictive power of TIICs was highly related to their distance to tumor cells. Unsupervised clustering analysis divided colorectal cancer into three subtypes with distinct prognostic outcomes, and correlation analysis revealed the synergy among B cells, CD68+IDO1+TAMs, and T lineage cells in producing an effective immune response.ConclusionsOur study suggests that the integration of spatial localization with TIIC abundance is important for comprehensive prognostic assessment.

A case of endoscopic submucosal dissection of esophageal acantholytic Paget’s disease with discontinuously spreading and unclear neoplastic extension

BackgroundPaget's disease (PD) is a carcinoma, in which irregular atypical cells with abundant cytoplasm proliferate mainly within the epithelium and is classified into PD occurring in the breast and extramammary Paget's disease (EMPD) occurring outside the breast. Essentially, extramammary PD is reported as a tumor for which it is difficult for surgeons to properly determine the line of resection.Case presentationAn 83-year-old male was admitted to our hospital because of roughness of the esophageal epithelium during the follow-up examination for a gastric ulcer. A preoperative biopsy revealed squamous cell carcinoma; therefore, endoscopic submucosal dissection (ESD) was performed.ConclusionsThe characteristic feature in this patient was the distribution of tumor cells and, accordingly, the difficulty in identifying the neoplastic distribution. In this patient, the odd distribution and growth pattern of the tumor cells made it difficult for the operator to identify the distribution of the lesion preoperatively.

Detailed Profiling of the Tumor Microenvironment in Ethnic Breast Cancer, Using Tissue Microarrays and Multiplex Immunofluorescence.

Breast cancer poses a global health challenge, yet the influence of ethnicity on the tumor microenvironment (TME) remains understudied. In this investigation, we examined immune cell infiltration in 230 breast cancer samples, emphasizing diverse ethnic populations. Leveraging tissue microarrays (TMAs) and core samples, we applied multiplex immunofluorescence (mIF) to dissect immune cell subtypes across TME regions. Our analysis revealed distinct immune cell distribution patterns, particularly enriched in aggressive molecular subtypes triple-negative and HER2-positive tumors. We observed significant correlations between immune cell abundance and key clinicopathological parameters, including tumor size, lymph node involvement, and patient overall survival. Notably, immune cell location within different TME regions showed varying correlations with clinicopathologic parameters. Additionally, ethnicities exhibited diverse distributions of cells, with certain ethnicities showing higher abundance compared to others. In TMA samples, patients of Chinese and Caribbean origin displayed significantly lower numbers of B cells, TAMs, and FOXP3-positive cells. These findings highlight the intricate interplay between immune cells and breast cancer progression, with implications for personalized treatment strategies. Moving forward, integrating advanced imaging techniques, and exploring immune cell heterogeneity in diverse ethnic cohorts can uncover novel immune signatures and guide tailored immunotherapeutic interventions, ultimately improving breast cancer management.

Estrus detection on different thoroughbred crossbreed horses with vaginal smear and vaginal acidity method

Abstract Breeding manipulation season in racehorses is required to ensure the birth at the specific period (August-December), which will maximize the foal’s age when participating in their first race (July). Therefore, it is important to time the mating of mares using highly accurate estrus detection methods. This research was conducted to identify the differences data using vaginal smear and pH vagina of Thorougbred crossbreed mares in estrus and anestrus phases. Fifteen multiparous mares were conducted with a period of estrus of 19-22d. The result data showed significant differences (P<0.05) in the vaginal cell distribution patterns at each phase of the estrus cycle. The superficial cells predominate (92.43±5.14%) in the estrus phase while significant parabasal cells (87.89±3.09%) predominate in the anestrus phase. The results also showed a significant difference (P<0.05) in vaginal pH which was much more alkaline (8.71±0.25) in the estrus phase while more significantly acidic-normal (6.02±0.26) in the anestrus phase. However, the results showed no difference both in vaginal smear and pH vagina based on pedigree group. Finally, the pattern of superficial cells being more common and vaginal pH levels being higher during estrus may offer a new way to find out when an equine is in estrus.

Anatomy of leaf blade, leaf sheath and pseudopetiole in Neotropical Bambusoideae (Poaceae): Insights into structure and taxonomic contributions

Anatomical investigations aiming to seek alternative characters for the taxonomy of bamboos are almost exclusively restricted to the leaf blade. Little is known about the anatomical structure of other parts of the leaf, such as the leaf sheath and pseudopetiole. The present paper analyzed the complete structure of foliage leaves, including the foliage leaf blade, foliage leaf sheath, and pseudopetiole of species belonging to the tribes Bambuseae (subtribes Guaduinae, Chusqueinae and Arthrostylidiinae) and Olyreae (subtribe Parianinae) to identify useful characters in the taxonomy of bamboos. We used scanning electron microscopy and light microscopy to describe micromorphological and anatomical features. All species sampled share the following features: foliage leaf blades with uniseriate epidermis; adaxial bulliform cells; mesophyll with arm cells, cavities, and collateral vascular bundles. Intercostal sclerenchyma associated to bulliform cells was observed only in Arthrostylidiinae. Micromorphologically, the shape and distribution of silica bodies, presence, type, and distribution of papillae on the long cells and subsidiary cells, and the presence and distribution of trichomes may be taxonomically informative in different taxonomic levels. We highlight the absence of papillae on the surfaces of foliage leaf blade of Guaduinae since the presence of papillae is considered a putative diagnosis feature supporting the sister relationship of this subtribe with Arthrostylidiinae. We describe the anatomical structure of foliage leaf sheath for the first time for Guaduinae, Chusqueinae and Parianinae. In Guaduinae, we found a unique distribution pattern of silica cells on the abaxial surface of the leaf sheath. Anatomical data about the pseudopetiole structure also were described for the first time in bamboos species; the arrangement of vascular bundles may be taxonomically informative, especially in Guaduinae.

Paneth cell ontogeny in term and preterm ovine models.

Paneth cells are critically important to intestinal health, including protecting intestinal stem cells, shaping the intestinal microbiome, and regulating host immunity. Understanding Paneth cell biology in the immature intestine is often modeled in rodents with little information in larger mammals such as sheep. Previous studies have only established the distribution pattern of Paneth cells in healthy adult sheep. Our study aimed to examine the ontogeny, quantification, and localization of Paneth cells in fetal and newborn lambs at different gestational ages and with perinatal transient asphyxia. We hypothesized that ovine Paneth cell distribution at birth resembles the pattern seen in humans (highest concentrations in the ileum) and that ovine Paneth cell density is gestation-dependent. Intestinal samples were obtained from 126-127 (preterm, with and without perinatal transient asphyxia) and 140-141 (term) days gestation sheep. Samples were quantified per crypt in at least 100 crypts per animal and confirmed as Paneth cells through in immunohistochemistry. Paneth cells had significantly higher density in the ileum compared to the jejunum and were absent in the colon. Exposure to perinatal transient asphyxia acutely decreased Paneth cell numbers. These novel data support the possibility of utilizing ovine models for understanding Paneth cell biology in the fetus and neonate.

Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis Using Histopathological Images.

Cancer is widely recognized as the primary cause of mortality worldwide, and pathology analysis plays a pivotal role in achieving accurate cancer diagnosis. The intricate representation of features in histopathological images encompasses abundant information crucial for disease diagnosis, regarding cell appearance, tumor microenvironment, and geometric characteristics. However, recent deep learning methods have not adequately exploited geometric features for pathological image classification due to the absence of effective descriptors that can capture both cell distribution and gathering patterns, which often serve as potent indicators. In this paper, inspired by clinical practice, a Hierarchical Graph Pyramid Transformer (HGPT) is proposed to guide pathological image classification by effectively exploiting a geometric representation of tissue distribution which was ignored by existing state-of-the-art methods. First, a graph representation is constructed according to morphological feature of input pathological image and learn geometric representation through the proposed multi-head graph aggregator. Then, the image and its graph representation are feed into the transformer encoder layer to model long-range dependency. Finally, a locality feature enhancement block is designed to enhance the 2D local representation of feature embedding, which is not well explored in the existing vision transformers. An extensive experimental study is conducted on Kather-5K, MHIST, NCT-CRC-HE, and GasHisSDB for binary or multi-category classification of multiple cancer types. Results demonstrated that our method is capable of consistently reaching superior classification outcomes for histopathological images, which provide an effective diagnostic tool for malignant tumors in clinical practice.

SulA does not sequester FtsZ in Escherichia coli cells during the SOS response

In Escherichia coli, the SulA protein is synthesized during the SOS response to arrest cell division. Two possible models of SulA action were proposed: the sequestration and the capping. In current paper, to clarify which model better reflects the SulA effect on cell division upon the SOS response, the FtsZ/SulA ratio was estimated inside cells based on fusion of both FtsZ and SulA to fluorescent protein mNeonGreen. This allowed to quantify this ratio by fluorescence microscopy as well as western blotting; moreover, the effect of SulA on FtsZ distribution patterns in cells was analyzed based on fluorescence microscopy images. The SulA concentration in cells under the SOS response was shown to be several times (about 10) lower than that of FtsZ. The effect of SulA was unequal to corresponding decrease in FtsZ concentration. These results are supported by uneven FtsZ distribution in cells under the SOS response. Together the results of current work indicate that the division arrest by SulA protein in E. coli cells could not be explained by the sequestration model.

CCF-GNN: A Unified Model Aggregating Appearance, Microenvironment, and Topology for Pathology Image Classification.

Pathology images contain rich information of cell appearance, microenvironment, and topology features for cancer analysis and diagnosis. Among such features, topology becomes increasingly important in analysis for cancer immunotherapy. By analyzing geometric and hierarchically structured cell distribution topology, oncologists can identify densely-packed and cancer-relevant cell communities (CCs) for making decisions. Compared to commonly-used pixel-level Convolution Neural Network (CNN) features and cell-instance-level Graph Neural Network (GNN) features, CC topology features are at a higher level of granularity and geometry. However, topological features have not been well exploited by recent deep learning (DL) methods for pathology image classification due to lack of effective topological descriptors for cell distribution and gathering patterns. In this paper, inspired by clinical practice, we analyze and classify pathology images by comprehensively learning cell appearance, microenvironment, and topology in a fine-to-coarse manner. To describe and exploit topology, we design Cell Community Forest (CCF), a novel graph that represents the hierarchical formulation process of big-sparse CCs from small-dense CCs. Using CCF as a new geometric topological descriptor of tumor cells in pathology images, we propose CCF-GNN, a GNN model that successively aggregates heterogeneous features (e.g., appearance, microenvironment) from cell-instance-level, cell-community-level, into image-level for pathology image classification. Extensive cross-validation experiments show that our method significantly outperforms alternative methods on H&E-stained and immunofluorescence images for disease grading tasks with multiple cancer types. Our proposed CCF-GNN establishes a new topological data analysis (TDA) based method, which facilitates integrating multi-level heterogeneous features of point clouds (e.g., for cells) into a unified DL framework.

Visualizing intracellular membrane interactions and cell type-specific differentiation in ferroptosis and apoptosis with Boranil-Carbazole derivative

Intracellular lipid systems play essential roles in various physiological functions and cell growth processes. However, our understanding of the intricate interactions within this system, especially between mitochondria and lipid droplets, is limited, particularly in the context of cancer cells' altered lipid metabolism. To address this, our study introduces an N-B-O BODIPY-hexylcarbazole derivative, named Cz-Boranil, that sets a new benchmark in visualizing these critical interactions. Cz-Boranil's unique capability lies in its ability to display distinct intracellular distribution patterns in both normal and cancer cells, offering nuanced cell type-specific differentiation. More impressively, this probe tracks the coordinated interactions of lipid droplets and mitochondria during the critical processes of ferroptosis and apoptosis. We believe that the innovative capabilities of Cz-Boranil will revolutionize our understanding of intracellular lipid interactions and prove pivotal in identifying and studying cancerous cells.

Multiscale Imaging Techniques for Real‐Time, Noninvasive Diagnosis of Li‐Ion Battery Failures

With the increasing popularity of battery‐powered mobility, ensuring the safety and reliability of Li‐ion batteries (LIBs) has become critical for manufacturers. Despite advanced manufacturing processes for large‐scale Li‐ion cells, “latent defects” still unintentionally appear, due to imbalanced battery design, invisible faults, and extreme operating conditions. These defects cause performance degradation and can even lead to battery fires. Hence, early detection of latent defects, along with understanding the influence of cell parameters and operating conditions on battery failure scenarios, is crucial. For straightforward investigations and interpretations, noninvasive and in operando battery imaging techniques and methods have been proposed using X‐rays, neutrons, and ultrasound, as these can penetrate active and component materials and cell packaging. Moreover, magnetic‐field‐guided visualization of the current distribution pattern in cells under a current load has been proposed to identify invisible defects. This review thoroughly examines various imaging techniques for internal batteries, from the atomic and molecular levels in electrode materials and interfaces to macroscale battery systems. By assessing qualitative case studies and newly discovered phenomena, this review provides valuable insights into state‐of‐the‐art noninvasive battery imaging and its potential to improve the safety and reliability of LIB technology.

Gene expression pattern of K transporter GhHAK5 gene of potassium efficient and in-efficient cotton cultivars based on morphological physiognomies as affected by potassium nutrition and reduced irrigation

BackgroundUnder K deficiency the uptake and distribution pattern in plant cells is mediated through different transport proteins and channels which were controlled by specific gene family. Therefore, a hydroponic experiment was conducted under control condition for testing the gene expression pattern of the K transporter under adequate and low K supply levels. After that, a 2-year field experiment was conducted to evaluate five selected cotton cultivars (four K-efficient cultivars, viz., CIM-554, CYTO-124, FH-142, IUB-2013, and one K non-efficient, BH-212) screened from the initial hydroponics culture experiment and two levels of potassium (0 K2O kg·ha−1 and 50 K2O kg·ha−1) were tested under reduced irrigation (50% available water content; 50 AWC) and normal irrigation conditions (100% available water content; 100 AWC).ResultResults revealed that the transcript levels of GhHAK5aD in roots were significantly higher in K+ efficient cultivars than that in K+ non-efficient cultivars. The GhHAK5aD expression upon K+ deficiency was higher in roots but lower in shoots, indicating that GhHAK5aD could have a role in K+ uptake in roots, instead of transport of K+ from root to shoot. Similarly, under field conditions the cultivar FH-142 showed an increase of 22.3%, 4.9%, 2.4%, and 1.4% as compared with BH-212, IUB-2013, CYTO-124, and CIM-554, respectively, in seed cotton yield (SCY) with K application under reduced irrigation conditions. With applied K, the FH-142 showed an increase in net photosynthetic rate by 57.3% as compared with the rest of the cultivars under reduced irrigation over K control. However, the overall performance indicators of K-efficient cultivars like FH-142, CYTO-124, CIM-554, and IUB-2013 were better than BH-212 (K in-efficient) under reduced irrigation conditions with applied K at 50 kg·ha−1. Fiber quality trait improved significantly with K application under water deficit. The increase in micronaire was 3.6%, 4.7%, 7.8%, 3.4%, and 6.7% in BH-212, IUB-2013, CIM-554, CYTO-124, and FH-142, respectively, with K application at 50 kg·ha−1 over without K application under reduced irrigation conditions during the cotton growing season. Similarly, the cultivars FH-142 increased by 12% with K application under reduced irrigation as compared with other cultivars. The performance of K-efficient cultivars under reduced irrigation conditions was 30% better in SCY and quality traits with the application of K at 50 kg·ha−1 as compared with K-non-efficient cultivars. Similarly, water use efficiency (WUE) (40.1%) and potassium use efficiency (KUE) (20.2%) were also noted higher in case of FH-142 as compared with other cultivar with K application under reduced conditions.ConclusionHigher expression of GhHAK5aD gene was observed in K-efficient cultivars as compared with K-non-efficient cultivars in roots indicates that GhHAK5aD may be contributing to genotypic differences for K+ efficiency in cotton. K-efficient cotton cultivars can be used for the low-K environments and can also be recommended for general cultivars.

Novel Fabrication of 3-D Cell Laden Micro-Patterned Porous Structure on Cell Growth and Proliferation by Layered Manufacturing.

This study focuses on developing and characterizing a novel 3-dimensional cell-laden micro-patterned porous structure from a mechanical engineering perspective. Tissue engineering holds great promise for repairing damaged organs but faces challenges related to cell viability, biocompatibility, and mechanical strength. This research aims to overcome these limitations by utilizing gelatin methacrylate hydrogel as a scaffold material and employing a photolithography technique for precise patterned fabrication. The mechanical properties of the structure are of particular interest in this study. We evaluate its ability to withstand external forces through compression tests, which provide insights into its strength and stability. Additionally, structural integrity is assessed over time to determine its performance in in vitro and potential in vivo environments. We investigate cell viability and proliferation within the micro-patterned porous structure to evaluate the biological aspects. MTT assays and immunofluorescence staining are employed to analyze the metabolic activity and distribution pattern of cells, respectively. These assessments help us understand the effectiveness of the structure in supporting cell growth and tissue regeneration. The findings of this research contribute to the field of tissue engineering and provide valuable insights for mechanical engineers working on developing scaffolds and structures for regenerative medicine. By addressing challenges related to cell viability, biocompatibility, and mechanical strength, we move closer to realizing clinically viable tissue engineering solutions. The novel micro-patterned porous structure holds promise for applications in artificial organ development and lays the foundation for future advancements in large soft tissue construction.

PyCreas: a tool for quantification of localization and distribution of endocrine cell types in the islets of Langerhans.

Manifest diabetes, but also conditions of increased insulin resistance such as pregnancy or obesity can lead to islet architecture remodeling. The contributing mechanisms are as poorly understood as the consequences of altered cell arrangement. For the quantification of the different cell types but also the frequency of different cell-cell contacts within the islets, different approaches exist. However, few methods are available to characterize islet cell distribution in a statistically valid manner. Here we describe PyCreas, an open-source tool written in Python that allows semi-automated analysis of islet cell distribution based on images of pancreatic sections stained by immunohistochemistry or immunofluorescence. To ensure that the PyCreas tool is suitable for quantitative analysis of cell distribution in the islets at different metabolic states, we studied the localization and distribution of alpha, beta, and delta cells during gestation and prediabetes. We compared the islet cell distribution of pancreatic islets from metabolically healthy NMRI mice with that of New Zealand obese (NZO) mice, which exhibit impaired glucose tolerance (IGT) both preconceptionally and during gestation, and from C57BL/6N (B6) mice, which acquire this IGT only during gestation. Since substrain(s) of the NZO mice are known to show a variant in the Abcc8 gene, we additionally examined preconceptional SUR1 knock-out (SUR1-KO) mice. PyCreas provided quantitative evidence that alterations in the Abcc8 gene are associated with an altered distribution pattern of islet cells. Moreover, our data indicate that this cannot be a consequence of prolonged hyperglycemia, as islet architecture is already altered in the prediabetic state. Furthermore, the quantitative analysis suggests that states of transient IGT, such as during common gestational diabetes mellitus (GDM), are not associated with changes in islet architecture as observed during long-term IGT. PyCreas provides the ability to systematically analyze the localization and distribution of islet cells at different stages of metabolic disease to better understand the underlying pathophysiology.